Rightsize workloads and reduce costs with Datadog Kubernetes Autoscaling

Kubernetes resource management has become an important priority for organizations optimizing their Kubernetes use. Datadog Kubernetes Autoscaling provides multi-dimensional workload scaling recommendations and automation, enabling teams to deliver cost savings while maintaining performance and stability. It helps prioritize clusters and workloads for optimization, allows users to rightsize workloads directly within the platform, and tracks progress over time with resource efficiency and node scaling metrics. Kubernetes Autoscaling is currently in private beta but can be accessed through a 14-day free trial for non-Datadog users.